Jash Rana (MIE MASc 2T6) applies his knowledge of computational and mathematical simulations to accelerate the adoption of ...

Johnny Wunder and Adrian Rietveld go in deep on the bag and strategy of two-time major champion Collin Morikawa.

Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which ...

Master the math behind Roobet's Mission Uncrossable. Play smarter using provably fair mechanics & optimized risk strategies.

Overview Quantum systems evaluate countless supply chain variables simultaneously, helping organizations solve complex ...

Abstract: Solving constrained multi-objective optimization problems (CMOPs) is a challenging task due to the presence of multiple conflicting objectives and intricate constraints. In order to better ...

Spire.AI Foundry delivers domain-aware knowledge graph based context intelligence that translates fragmented enterprise data into decision-ready outcomes AI without context can’t drive outcomes. Spire ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

Modern seismic codes ensure life safety, but code-compliant buildings can still suffer significant economic losses from earthquake-induced damage, even during moderate events. Performance-Based ...

Accelerated degradation test is an effective way for the rapid reliability assessment of mechanical systems. Most of the existing optimization methods for accelerated degradation tests aim to optimize ...